Gemini for Google Workspace is an add-on that provides users with access to generative AI features.

Gemini for Google Workspace is an add-on that provides customers with generative AI features in Google Workspace.

Gemini for Google Workspace is an add-on that provides customers with generative AI features in Google Workspace. In this mini-course, you learn about the key features of Gemini and how they can be used to improve productivity and efficiency in Google Slides.

Learn to enhance presentations with Gemini AI tools in Google Slides for better storytelling and data visualization.

Following best practices when working in prompt engineering allows for you to create effective prompts that maximize and improve results obtained from Gemini. This course will teach you the best practices for creating epic prompts with Google Gemini.

Leveraging Google Gemini allows you to improve your productivity and enhance the quality of your work. This course will teach you how to create effective prompts for your business professional tasks that will help you get better responses from Gemini.

This course covers the use of Gemini for cybersecurity tasks, how to create effective prompts for threat intelligence gathering and analysis, penetration testing, incident response, and secure software development.

Gemini offers powerful support for data professionals seeking to accelerate their analysis. This course will teach you how to leverage Gemini's capabilities to streamline your projects effectively.

Unlock the potential of Google Gemini for prompt engineering. This course will teach you effective prompt techniques for everyday developer tasks.

Discover the art of prompt engineering for image generation. This course will teach you advanced techniques for effortlessly creating high-quality images.

Welcome to the Google Gemini course for IT admins. This course will teach you to leverage Google Gemini to create IT workflow and automate tasks.

Gen AI - RAG (Retrieval-Augmented Generation) Application Development using LangChain" focuses on building intelligent applications that combine the power of generative AI with retrieval-based systems. This course teaches how to integrate LangChain, an advanced framework, to design and develop AI-driven apps that retrieve and generate contextually accurate responses, offering enhanced performance and relevance in AI interactions. Ideal for those interested in creating next-gen AI solutions.